Journal of Pediatric Psychology最新文献

Objective: This study examined the role of central sensitization in the experience of pain among adolescents and young adults with the most severe genotypes of sickle cell disease (SCD). We hypothesized that adolescents and young adults with chronic SCD pain would demonstrate a higher perceptual response to repeated stimulation of identical intensity (i.e., temporal summation of pain, TSP) compared to counterparts with infrequent pain. We also examined psychological risk factors that can impact pain sensitivity.

Methods: Patients ages 12-21 years, diagnosed with SCD type Hb SS or Hb S Beta0Thalasemia, who reported infrequent pain (≤2 pain days/month; n = 25) or met AAPT criteria for chronic SCD pain (n = 25) were enrolled. Patients were age- and sex-matched, with similar proportions receiving chronic blood transfusion and hydroxyurea. Patients completed static quantitative sensory testing (QST) and dynamic TSP testing to assess pain sensitivity. Patients and a caregiver completed demographic and psychological measures (depression, anxiety, pain interference, pain catastrophizing).

Results: Simple slope analysis revealed differentially elevated heat TSP among adolescents and young adults with chronic SCD pain (b = 3.14, p = .002) but not those with infrequent pain (b = 0.45, p = .61). Faster habituation was further observed for those with chronic compared to infrequent pain. Adolescents and young adults with chronic pain reported more frequent depression, anxiety, and pain interference symptoms; however, psychological symptoms and pain catastrophizing were not associated with QST or TSP (ps >.17).

Conclusion: Current results demonstrate that a well-established, prognostic, QST risk marker (i.e., TSP) may distinguish chronic from infrequent pain subgroups of adolescents and young adults with SCD.

Objective: Cognitive-behavioral (CBT) interventions combined with either a physical activity (CBT+PA) or exercise intervention (CBT+Ex) are becoming more common in pediatric populations. Considering the independent effects of PA and exercise on health and psychological outcomes, it is unclear whether CBT alone differs from CBT+PA or CBT+Ex in efficacy. The main objective of this systematic review and meta-analysis of randomized clinical trials (RCTs) was to assess the efficacy of CBT+PA and CBT+Ex interventions in pediatric chronic disease.

Method: This review included RCTs in children (≤18 years) with a chronic condition, a CBT+Ex or CBT+PA intervention, and an objective measure of PA&Ex. Seven databases were searched using MeSH terms and key terms and included studies published before July 1, 2023. Abstracts were reviewed for inclusion by two independent reviewers, data was extracted by three independent reviewers. Risk of bias (RoB 2) and study quality were coded. Random effect meta-analyses of differences in between-group change in PA&Ex were conducted.

Results: Eligible studies (k = 5) reported outcomes for a combined 446 children. A small, nonsignificant overall effect was found (d = 0.10, 95% CI -0.16, 0.35) indicating intervention groups (CBT+PA or CBT+Ex) increased engagement in PA&Ex more than comparator groups (CBT). Additional analyses were inconclusive due to the small number of eligible studies.

Discussion: Additional RCTs are needed with integrated PA&Ex interventions targeting pediatric chronic disease. Future trials should report more detailed PA&Ex data. The full protocol for this analysis was prospectively registered in Open Science Framework (project ID: osf.io/m4wtc).

Objective: Sleep difficulties in youth have been associated with numerous negative outcomes, such as higher risk of obesity. Though the relationship between sleep and obesity is not well clarified, past research has shown that modifiable health behaviors, such as diet, physical activity, and screen time, may explain this relationship. The purpose of this study was to simultaneously examine these health behaviors as mediators of the relationship between insomnia severity and obesity among a sample of adolescents aged 12-18 years.

Method: English-speaking parents/legal guardians of adolescents were invited to participate in an online survey focused on pediatric sleep patterns, health behaviors, and weight. Parents/guardians (N = 599) reported on their adolescent's diet (i.e., consumption of fruits/vegetables, fast food, and breakfast), physical activity, screen time, and BMI. A multiple mediation analysis was run to test these health behaviors as mediators of the relationship between insomnia severity and BMI, after controlling for sex, age, race, and poverty.

Results: While insomnia was related to most health behaviors, screen time was the only significant mediator of the relationship between insomnia and BMI, after controlling for the effects of the other mediators and all covariates, ab = .04, 95% CrI [.01, .09].

Conclusions: Screen time has implications for both adolescents' sleep health and weight. Pediatric clinicians should systematically assess for, and provide, recommendations on ways to improve sleep and screen time use, in addition to providing traditional dietary and physical activity recommendations.

Researchers by default tend to choose complex models when analyzing nonindependent response variable data, this may be particularly applicable in the analysis of longitudinal trial data, possibly due to the ability of such models to easily address missing data by default. Both maximum-likelihood (ML) estimation and multiple imputation (MI) are well-known to be acceptable methods for handling missing data, but much of the recently published quantitative literature has addressed questions regarding the research designs and circumstances under which one should be chosen over the other. The purpose of this article is threefold. First, to clearly define the assumptions underlying three common longitudinal trial data analysis models for continuous dependent variable data: repeated measures analysis of covariance (RM-ANCOVA), generalized estimating equation (GEE), and a longitudinal linear mixed model (LLMM). Second, to clarify when ML or MI should be chosen, and to introduce researchers to an easy-to-use, empirically well-validated, and freely available missing data multiple imputation program: BLIMP. Third, to show how missing longitudinal trial data can be handled in the three data analysis models using three popular statistical analysis software packages (SPSS, Stata, and R) while keeping the published quantitative research in mind.

Objective: Theoretical models note psychosocial functioning as a key influence on transition readiness skills (TRS) among emerging adults (EA), but little is known about the relative importance of unique vs. shared anxiety and depressive dimensions, operationalized according to Clark and Watson's (1991) tripartite model, in contributing to TRS. Moreover, although development of TRS is important for all EA, few studies have examined whether the strength of relationships between internalizing symptoms and TRS vary between EA with and without chronic physical health conditions (CHC). Given the links between suboptimal TRS and adverse health outcomes, additional research is needed. This study examined individual and additive associations between three internalizing symptom dimensions (anxious arousal, anhedonic depression, and general distress) and TRS, as well as the moderating role of CHC status.

Method: One hundred twenty-six EA completed an online survey measuring TRS and internalizing symptoms. The sample was 70.6% women, 39.7% of minoritized racial identity, and 21.2% Hispanic ethnicity. The mean participant age was 21.23 years.

Results: In two of three regression models, anhedonic depression alone was significantly related to TRS. CHC moderated the relationship between internalizing and TRS in only two of nine models. In both cases, internalizing symptoms were negatively associated with TRS for those without CHCs, but not for those with CHCs.

Conclusions: Assessment of anhedonic depression may be particularly useful in identifying youth at risk for suboptimal TRS regardless of CHC status. Moreover, interventions such as behavioral activation to improve TRS skill attainment warrant additional investigation.

Objective: Poor sleep health is common in adolescence due to a combination of physiological, psychosocial, and environmental factors. Adolescents with type 1 diabetes (T1D) may be at increased risk for poor sleep health due to physiological and behavioral aspects of diabetes and its management. This article describes a qualitative analysis of interviews with adolescents with T1D and their parents about facilitators and barriers to sleep health and family strategies to balance teens' sleep with competing demands.

Methods: Separate interviews were conducted with 20 adolescents with T1D and 20 parents. Interviews were recorded and transcribed verbatim and analyzed thematically. Participants were on average 15.8 ± 1.2 years old, 45% female, and 85% non-Hispanic White.

Results: Overnight diabetes management was the most frequently reported barrier to sleep. Families reported different strategies for taking responsibility of overnight diabetes management, which differentially impacted sleep. Families worked to balance diabetes management and sleep with other aspects of adolescent life, including school demands, social activities, and electronics use. Facilitators to healthy sleep identified by families included diabetes assistive technology and maintaining a consistent sleep/wake schedule. Both adolescents and parents voiced beliefs that their diabetes care team is not able to help with sleep health.

Conclusions: Pediatric psychologists should be aware of the specific sleep barriers experienced by adolescents with T1D and their parents. A focus on overnight diabetes management strategies may facilitate psychologists' support of families in the adolescent's transition to independent diabetes management. Research is needed on the impact of optimizing sleep health in adolescents with T1D.

Objective: Children and adolescents with rare diseases face significant barriers when accessing healthcare. We aimed to assess and predict these barriers and investigate associations with health-related quality of life (HRQoL).

Method: We conducted a cross-sectional survey of Swiss parents (N = 189) of children with rare diseases including the Barriers to Care Questionnaire (BCQ), containing six barriers and the Pediatric Quality of Life Inventory (PedsQL). Latent profile analysis (LPA) was used to uncover distinct classes, which were compared using chi-square tests and Mann-Whitney U tests. Relevant medical and sociodemographic class predictors were identified using Elastic Net regression, followed by regression analysis to investigate their role in predicting barriers to care and examine the effects of these classes on HRQoL.

Results: Two distinct groups were identified, a higher barriers class (59%) and a lower barriers class (41%). In the higher barriers class, participants showed elevated scores across all subscales and specifically on pragmatics and expectations. More barriers to care were linked to a nonstable disease course (OR = 2.27, p = .002) and a diagnosis after the age of 3 months (OR = 2.17, p = .006). Individuals in the higher barriers class exhibited more psychological comorbidities (p = .044), congenital malformations/deformations/chromosomal abnormalities (p=.042), and medical misdiagnoses (p = .006). Children in the higher barriers class had significantly lower PedsQL scores compared to the lower barriers class (p <.05).

Conclusion: This study highlights the need for comprehensive assessment of barriers to pediatric care in rare diseases, offering potential entry points for targeted interventions.

Objective: The way in which parental posttraumatic stress symptoms (PTSS) unfold in the first year after a cancer diagnosis in their child is poorly understood. The aims of this study were to identify parental PTSS trajectories and to examine couple-related predictors (dyadic coping and we-disease appraisals), sociodemographic predictors (education and sex), and medical predictors (child's physical impairment) of trajectory membership.

Method: A 1-year prospective study was conducted, and 157 parents of children newly diagnosed with cancer were assessed. PTSS was measured with the Posttraumatic Diagnostic Scale for DSM-5 (PDS-5) at 3-6 weeks (T1), 6 months (T2), and 12 months (T3) after the diagnosis. The trajectories were identified with Latent Class Growth Analysis, the predictors were explored with binomial logistic regression.

Results: Two distinct trajectories were found. The majority of parents (86.0%) followed a low PTSS trajectory, characterized by initially low scores that slightly decreased over 12 months. In contrast, 14.0% of parents displayed a stable, high PTSS trajectory. A high trajectory of child's physical impairment and low scores in parental dyadic coping were significantly associated with the likelihood of a high parental PTSS trajectory.

Conclusions: The findings provide new insights into the critical period of the first year after a child's cancer diagnosis. While most parents display a resilient, low PTSS trajectory, a minority consistently experience high PTSS levels. Child's physical impairment and dyadic coping should be considered as predictors for early identification of vulnerable parents. Incorporating dyadic coping in parental support following a childhood cancer diagnosis could be beneficial for parental mental health.

Objective: Racially minoritized youth with T1D are made vulnerable to disproportionately adverse health outcomes compared to White peers due to enduring systems of oppression. Thus, understanding modifiable psychosocial factors associated with diabetes-related outcomes in racially minoritized youth may help to buffer deleterious effects of racism. One factor meriting exploration is racial-ethnic identity. There is currently limited research on measures fit to assess ethnic identity in youth with chronic illnesses. This study's purpose is to examine the factor structure, reliability, and validity of the revised Multigroup Ethnic Identity Measure (MEIM-R) in a racially- and income-diverse sample of youth with T1D across sociodemographic and illness-related proxies for one's positionality in oppressive systems.

Method: As part of a larger study examining resilience, 142 youth with T1D ages 12-18 (Mage = 14.66, SDage = 1.62, 55.6% Black/African-American, 44.4% White) completed the MEIM-R and various psychosocial measures. HbA1c levels and illness duration were extracted from medical records and caregivers reported income information. Confirmatory factor analyses compared the structural validity of competing MEIM-R models, and uniform and non-uniform differential item functioning (DIF) was explored across sociodemographic and illness-related factors.

Results: While a bifactor structure was supported, the MEIM-R was found to exhibit DIF by race and gender on multiple MEIM-R items and did not demonstrate linear bivariate relations with other psychosocial factors.

Conclusions: Since different MEIM-R item response patterns were observed across racial/ethnic and gender groups, caution is warranted in using this measure in racially and gender diverse youth with T1D.